Locations of Datavis 2020 Students
This visualization displays the global distribution of students who joined Datavis 2020, with each point representing the approximate physical location of a participant. Colored circles distinguish between students who joined in the first versus second week of the course, allowing viewers to see the program’s early geographic reach. The code uses React with D3 v5’s `geoNaturalEarth1` projection and `geoPath` to render the world map, while the `topojson` library processes the atlas data. Location data was manually compiled from student introductions and geocoded into latitude/longitude coordinates.
AI-generated descriptionThis map shows approximate locations of the students who joined Datavis 2020 in its first few days.
The list of locations was compiled by manually going through the places mentioned by students in their introductions in our Slack channel #datavis-2020 in the D3 Slack Group. These are the locations where the students are actually located physically.
Each location mentioned was geocoded using Google (example Kansas City longitude and latitude and entered into the code here in useCities.js.
The locations mentioned range from countries to states to particular cities. For regions like countries or states, the point represents its centroid. Locations are by no means exact, but the point of this viz is to give a sense of the global distribution of students.